Pulung Nurtantio Andono, Pulung Nurtantio
Jurusan Teknik Informatika, Universitas Dian Nuswantoro Semarang

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Identifikasi Sidik Jari Menggunakan Akurasi POC dan SIFT Wiyanto, Tendi Tri; Andono, Pulung Nurtantio
Journal of Applied Intelligent System Vol 1, No 1 (2015): Februari 2015 (Hal. 1-69)
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

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Abstract

Salah satu cara pengenalan sidik jari adalah dengan identifikasi sidik jari. Umumnya identifikasi yang dilakukan mengacu pada proses tingkat akurasi citra sidik jari. Penelitian ini mengajukan suatu metode identifikasi sidik jari yang sederhana tanpa melakukan pengenalan melainkan langsung pada proses pencocokan dan tingkat akurasi. Ada banyak metode untuk mengatasi masalah tersebut. Dalam penelitian ini digunakan teknik Scale Invariant Transform Feature (SIFT) dan Phase Colleration Only (POC) sebagai fitur ekstraksi yang dapat mengatasi masalah perbedaan tingkat akurasi sidik jari. Penelitian ini juga meneliti perbandingan antara metode SIFT dengan metode POC. Dalam simulasi pengujian ini digunakan 50 citra sidik jari. Hasil tingkat akurasi algoritma SIFT sebesar 84,5%. Sedangkan POC tingkat akurasinya sebesar 78%. Metode penerapan SIFT dapat mendeteksi gambar fingerprint dengan berbagai rotasi dan Algoritma POC dapat memberikan nilai puncak runcing yang jelas jika kedua citra finger print mirip sedangkan jika kedua citra fingerprint tidak mirip maka nilai puncak akan turun secara signifikan. Dari data tersebut menunjukkan bahwa metode SIFT  lebih baik dan akurat dibandingkan POC. Kata kunci— identifikasi, sidik jari, akurasi SIFT dan POC, gambar.
Remove Blur Image Using Bi-Directional Akamatsu Transform and Discrete Wavelet Transform Andono, Pulung Nurtantio; Sari, Christy Atika
Scientific Journal of Informatics Vol 9, No 2 (2022): November 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v9i2.34173

Abstract

Purpose: Image is an imitation of everything that can be materialized, and digital images are taken using a machine. Although digital image capture uses machines, digital images are not free from interference. Image restoration is needed to restore the quality of the damaged image.Methods: Bi-directional Akamatsu Transform is proven to have an effective performance in reducing blur in images. Meanwhile, Discrete Wavelet Transform has been widely used in digital image processing research. We had been investigated the image restoration method by combining Bi-directional Akamatsu Transform and Discrete Wavelet Transform. Bi-directional Akamatsu Transform applied in Low-Low (LL) sub-band is the Discrete Wavelet Transform decomposition image most similar to the original image before decomposing. In this study, there are still shortcomings, including the determination of the values of N, up_enh, and down_enh, which are still manual. Manually setting the three values makes the Bi-directional Akamatsu Transform method not get the best results. With the use of machine learning methods can get better restoration results. Further testing is also needed for a more diverse and robust blur. The image data has a resolution of 256x256, 512x512, and 1024x1024. The image will be directly converted to a grey-scale image. The converted image will be given an attack model: average blur, gaussian blur, and motion blur. The image that has been attacked will apply two restoration methods: the proposed method and the Bi-direction Akatamatsu Transform. These two restoration images will then be compared using PSNR.Result: The average PSNR value from the restoration of the proposed method is 0.1446 higher than the average PSNR value from the restoration of the Bi-directional Akamatsu Transform method. When we compare it with the average PSNR value of the Akamatsu Transform restoration method, the average PSNR of the proposed method is 0.2084.Value: The combination of DWT and akamatsu transform results produce good PSNR values even though they have gone through the blurring method in image restoration.